Dataset statistics
| Number of variables | 11 |
|---|---|
| Number of observations | 100 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 8.7 KiB |
| Average record size in memory | 89.3 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 1 |
Metropolitan Area has a high cardinality: 100 distinct values | High cardinality |
#ERROR! is highly correlated with Moderately Burdened Renter Households | High correlation |
Cost Burdened Renter Share (%) is highly correlated with Severely Burdened Renter Share (%) and 2 other fields | High correlation |
Severely Burdened Renter Share (%) is highly correlated with Cost Burdened Renter Share (%) and 2 other fields | High correlation |
Cost Burdened Owner Share (%) is highly correlated with Cost Burdened Renter Share (%) and 4 other fields | High correlation |
Severely Burdened Owner Share (%) is highly correlated with Cost Burdened Renter Share (%) and 5 other fields | High correlation |
Moderately Burdened Renter Households is highly correlated with #ERROR! and 1 other fields | High correlation |
Median Income of Renter Households is highly correlated with Median Income of Owner Households and 2 other fields | High correlation |
Median Income of Owner Households is highly correlated with Median Income of Renter Households and 2 other fields | High correlation |
Median Monthly Housing Cost of Renter Households is highly correlated with Cost Burdened Owner Share (%) and 4 other fields | High correlation |
Median Monthly Housing Cost of Owner Households is highly correlated with Cost Burdened Owner Share (%) and 4 other fields | High correlation |
#ERROR! is highly correlated with Moderately Burdened Renter Households and 1 other fields | High correlation |
Cost Burdened Renter Share (%) is highly correlated with Severely Burdened Renter Share (%) and 2 other fields | High correlation |
Severely Burdened Renter Share (%) is highly correlated with Cost Burdened Renter Share (%) and 2 other fields | High correlation |
Cost Burdened Owner Share (%) is highly correlated with Cost Burdened Renter Share (%) and 4 other fields | High correlation |
Severely Burdened Owner Share (%) is highly correlated with Cost Burdened Renter Share (%) and 3 other fields | High correlation |
Moderately Burdened Renter Households is highly correlated with #ERROR! and 4 other fields | High correlation |
Median Income of Renter Households is highly correlated with #ERROR! and 4 other fields | High correlation |
Median Income of Owner Households is highly correlated with Moderately Burdened Renter Households and 3 other fields | High correlation |
Median Monthly Housing Cost of Renter Households is highly correlated with Cost Burdened Owner Share (%) and 5 other fields | High correlation |
Median Monthly Housing Cost of Owner Households is highly correlated with Cost Burdened Owner Share (%) and 4 other fields | High correlation |
#ERROR! is highly correlated with Moderately Burdened Renter Households | High correlation |
Cost Burdened Renter Share (%) is highly correlated with Severely Burdened Renter Share (%) and 1 other fields | High correlation |
Severely Burdened Renter Share (%) is highly correlated with Cost Burdened Renter Share (%) | High correlation |
Cost Burdened Owner Share (%) is highly correlated with Cost Burdened Renter Share (%) and 2 other fields | High correlation |
Severely Burdened Owner Share (%) is highly correlated with Cost Burdened Owner Share (%) | High correlation |
Moderately Burdened Renter Households is highly correlated with #ERROR! | High correlation |
Median Income of Renter Households is highly correlated with Median Income of Owner Households and 2 other fields | High correlation |
Median Income of Owner Households is highly correlated with Median Income of Renter Households and 2 other fields | High correlation |
Median Monthly Housing Cost of Renter Households is highly correlated with Cost Burdened Owner Share (%) and 3 other fields | High correlation |
Median Monthly Housing Cost of Owner Households is highly correlated with Median Income of Renter Households and 2 other fields | High correlation |
Median Monthly Housing Cost of Owner Households is highly correlated with Median Income of Renter Households and 6 other fields | High correlation |
#ERROR! is highly correlated with Moderately Burdened Renter Households and 1 other fields | High correlation |
Median Income of Renter Households is highly correlated with Median Monthly Housing Cost of Owner Households and 5 other fields | High correlation |
Severely Burdened Owner Share (%) is highly correlated with Median Monthly Housing Cost of Owner Households and 7 other fields | High correlation |
Median Income of Owner Households is highly correlated with Median Monthly Housing Cost of Owner Households and 5 other fields | High correlation |
Moderately Burdened Renter Households is highly correlated with Median Monthly Housing Cost of Owner Households and 4 other fields | High correlation |
Median Monthly Housing Cost of Renter Households is highly correlated with Median Monthly Housing Cost of Owner Households and 7 other fields | High correlation |
Metropolitan Area is highly correlated with Median Monthly Housing Cost of Owner Households and 9 other fields | High correlation |
Cost Burdened Owner Share (%) is highly correlated with Median Monthly Housing Cost of Owner Households and 6 other fields | High correlation |
Cost Burdened Renter Share (%) is highly correlated with Severely Burdened Owner Share (%) and 5 other fields | High correlation |
Severely Burdened Renter Share (%) is highly correlated with Severely Burdened Owner Share (%) and 2 other fields | High correlation |
#ERROR! is uniformly distributed | Uniform |
Metropolitan Area is uniformly distributed | Uniform |
#ERROR! has unique values | Unique |
Metropolitan Area has unique values | Unique |
Reproduction
| Analysis started | 2021-10-07 19:01:18.991950 |
|---|---|
| Analysis finished | 2021-10-07 19:01:46.433331 |
| Duration | 27.44 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
#ERROR!
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORMUNIQUE| Distinct | 100 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.5 |
| Minimum | 1 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 5.95 |
| Q1 | 25.75 |
| median | 50.5 |
| Q3 | 75.25 |
| 95-th percentile | 95.05 |
| Maximum | 100 |
| Range | 99 |
| Interquartile range (IQR) | 49.5 |
Descriptive statistics
| Standard deviation | 29.01149198 |
|---|---|
| Coefficient of variation (CV) | 0.5744849896 |
| Kurtosis | -1.2 |
| Mean | 50.5 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 0 |
| Sum | 5050 |
| Variance | 841.6666667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 1.0% |
| 64 | 1 | 1.0% |
| 74 | 1 | 1.0% |
| 73 | 1 | 1.0% |
| 72 | 1 | 1.0% |
| 71 | 1 | 1.0% |
| 70 | 1 | 1.0% |
| 69 | 1 | 1.0% |
| 68 | 1 | 1.0% |
| 67 | 1 | 1.0% |
| Other values (90) | 90 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 100 | 1 | |
| 99 | 1 | |
| 98 | 1 | |
| 97 | 1 | |
| 96 | 1 | |
| 95 | 1 | |
| 94 | 1 | |
| 93 | 1 | |
| 92 | 1 | |
| 91 | 1 |
| Distinct | 100 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 928.0 B |
| New YorkNewarkJersey City NYNJPA | 1 |
|---|---|
| Knoxville TN | 1 |
| GreensboroHigh Point NC | 1 |
| North PortSarasotaBradenton FL | 1 |
| Dayton OH | 1 |
| Other values (95) |
Length
| Max length | 40 |
|---|---|
| Median length | 23 |
| Mean length | 22.43 |
| Min length | 8 |
Characters and Unicode
| Total characters | 2243 |
|---|---|
| Distinct characters | 51 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 100 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | New YorkNewarkJersey City NYNJPA |
|---|---|
| 2nd row | Los AngelesLong BeachAnaheim CA |
| 3rd row | ChicagoNapervilleElgin ILINWI |
| 4th row | DallasFort WorthArlington TX |
| 5th row | HoustonThe WoodlandsSugar Land TX |
Common Values
| Value | Count | Frequency (%) |
| New YorkNewarkJersey City NYNJPA | 1 | 1.0% |
| Knoxville TN | 1 | 1.0% |
| GreensboroHigh Point NC | 1 | 1.0% |
| North PortSarasotaBradenton FL | 1 | 1.0% |
| Dayton OH | 1 | 1.0% |
| Columbia SC | 1 | 1.0% |
| Baton Rouge LA | 1 | 1.0% |
| AllentownBethlehemEaston PANJ | 1 | 1.0% |
| El Paso TX | 1 | 1.0% |
| McAllenEdinburgMission TX | 1 | 1.0% |
| Other values (90) | 90 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ca | 10 | 3.8% |
| fl | 9 | 3.4% |
| tx | 6 | 2.3% |
| city | 5 | 1.9% |
| oh | 5 | 1.9% |
| ny | 4 | 1.5% |
| san | 4 | 1.5% |
| nc | 4 | 1.5% |
| new | 3 | 1.1% |
| pa | 3 | 1.1% |
| Other values (190) | 209 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 175 | 7.8% |
| 162 | 7.2% | |
| e | 160 | 7.1% |
| o | 151 | 6.7% |
| n | 141 | 6.3% |
| r | 127 | 5.7% |
| l | 112 | 5.0% |
| i | 108 | 4.8% |
| t | 93 | 4.1% |
| s | 90 | 4.0% |
| Other values (41) | 924 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1549 | |
| Uppercase Letter | 532 | 23.7% |
| Space Separator | 162 | 7.2% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 60 | 11.3% |
| A | 58 | 10.9% |
| N | 42 | 7.9% |
| S | 38 | 7.1% |
| M | 31 | 5.8% |
| L | 27 | 5.1% |
| W | 26 | 4.9% |
| T | 26 | 4.9% |
| O | 25 | 4.7% |
| H | 24 | 4.5% |
| Other values (15) | 175 |
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 175 | |
| e | 160 | |
| o | 151 | |
| n | 141 | |
| r | 127 | 8.2% |
| l | 112 | 7.2% |
| i | 108 | 7.0% |
| t | 93 | 6.0% |
| s | 90 | 5.8% |
| d | 59 | 3.8% |
| Other values (15) | 333 |
Space Separator
| Value | Count | Frequency (%) |
| 162 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2081 | |
| Common | 162 | 7.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 175 | 8.4% |
| e | 160 | 7.7% |
| o | 151 | 7.3% |
| n | 141 | 6.8% |
| r | 127 | 6.1% |
| l | 112 | 5.4% |
| i | 108 | 5.2% |
| t | 93 | 4.5% |
| s | 90 | 4.3% |
| C | 60 | 2.9% |
| Other values (40) | 864 |
Common
| Value | Count | Frequency (%) |
| 162 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2243 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 175 | 7.8% |
| 162 | 7.2% | |
| e | 160 | 7.1% |
| o | 151 | 6.7% |
| n | 141 | 6.3% |
| r | 127 | 5.7% |
| l | 112 | 5.0% |
| i | 108 | 4.8% |
| t | 93 | 4.1% |
| s | 90 | 4.0% |
| Other values (41) | 924 |
Cost Burdened Renter Share (%)
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 74 |
|---|---|
| Distinct (%) | 74.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 48.198 |
| Minimum | 39.1 |
|---|---|
| Maximum | 61.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 39.1 |
|---|---|
| 5-th percentile | 42.395 |
| Q1 | 45.4 |
| median | 47.6 |
| Q3 | 50.35 |
| 95-th percentile | 55.525 |
| Maximum | 61.5 |
| Range | 22.4 |
| Interquartile range (IQR) | 4.95 |
Descriptive statistics
| Standard deviation | 4.285186605 |
|---|---|
| Coefficient of variation (CV) | 0.08890797555 |
| Kurtosis | 0.007744023969 |
| Mean | 48.198 |
| Median Absolute Deviation (MAD) | 2.6 |
| Skewness | 0.5508862993 |
| Sum | 4819.8 |
| Variance | 18.36282424 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 45.9 | 4 | 4.0% |
| 43.9 | 3 | 3.0% |
| 46.3 | 3 | 3.0% |
| 47.8 | 3 | 3.0% |
| 46.4 | 3 | 3.0% |
| 54.6 | 3 | 3.0% |
| 47.4 | 2 | 2.0% |
| 50.5 | 2 | 2.0% |
| 50.2 | 2 | 2.0% |
| 49.8 | 2 | 2.0% |
| Other values (64) | 73 |
| Value | Count | Frequency (%) |
| 39.1 | 1 | |
| 40.6 | 1 | |
| 40.9 | 1 | |
| 42.1 | 1 | |
| 42.3 | 1 | |
| 42.4 | 1 | |
| 42.9 | 1 | |
| 43 | 1 | |
| 43.1 | 1 | |
| 43.3 | 2 |
| Value | Count | Frequency (%) |
| 61.5 | 1 | 1.0% |
| 57.1 | 1 | 1.0% |
| 57 | 1 | 1.0% |
| 56.7 | 1 | 1.0% |
| 56 | 1 | 1.0% |
| 55.5 | 1 | 1.0% |
| 55.1 | 1 | 1.0% |
| 54.8 | 1 | 1.0% |
| 54.7 | 1 | 1.0% |
| 54.6 | 3 |
Severely Burdened Renter Share (%)
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 68 |
|---|---|
| Distinct (%) | 68.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.273 |
| Minimum | 18.4 |
|---|---|
| Maximum | 35.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 18.4 |
|---|---|
| 5-th percentile | 20.195 |
| Q1 | 23 |
| median | 24.85 |
| Q3 | 27.7 |
| 95-th percentile | 30.615 |
| Maximum | 35.4 |
| Range | 17 |
| Interquartile range (IQR) | 4.7 |
Descriptive statistics
| Standard deviation | 3.259790382 |
|---|---|
| Coefficient of variation (CV) | 0.1289831196 |
| Kurtosis | -0.1270987521 |
| Mean | 25.273 |
| Median Absolute Deviation (MAD) | 2.35 |
| Skewness | 0.3039180672 |
| Sum | 2527.3 |
| Variance | 10.62623333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 23.4 | 5 | 5.0% |
| 24.8 | 4 | 4.0% |
| 22.7 | 3 | 3.0% |
| 25.8 | 3 | 3.0% |
| 24.3 | 3 | 3.0% |
| 23 | 3 | 3.0% |
| 28.9 | 2 | 2.0% |
| 27.7 | 2 | 2.0% |
| 27.2 | 2 | 2.0% |
| 30.9 | 2 | 2.0% |
| Other values (58) | 71 |
| Value | Count | Frequency (%) |
| 18.4 | 1 | |
| 18.6 | 1 | |
| 19.7 | 1 | |
| 19.8 | 1 | |
| 20.1 | 1 | |
| 20.2 | 2 | |
| 20.7 | 1 | |
| 21.5 | 2 | |
| 21.6 | 2 | |
| 21.7 | 1 |
| Value | Count | Frequency (%) |
| 35.4 | 1 | |
| 31.8 | 1 | |
| 31 | 1 | |
| 30.9 | 2 | |
| 30.6 | 1 | |
| 30.5 | 1 | |
| 30.3 | 1 | |
| 30.2 | 1 | |
| 29.9 | 1 | |
| 29.3 | 1 |
Cost Burdened Owner Share (%)
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 73 |
|---|---|
| Distinct (%) | 73.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 23.651 |
| Minimum | 17.5 |
|---|---|
| Maximum | 36.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 17.5 |
|---|---|
| 5-th percentile | 18 |
| Q1 | 20.325 |
| median | 22.85 |
| Q3 | 26.4 |
| 95-th percentile | 33.44 |
| Maximum | 36.1 |
| Range | 18.6 |
| Interquartile range (IQR) | 6.075 |
Descriptive statistics
| Standard deviation | 4.563568845 |
|---|---|
| Coefficient of variation (CV) | 0.1929545831 |
| Kurtosis | 0.3346224643 |
| Mean | 23.651 |
| Median Absolute Deviation (MAD) | 2.9 |
| Skewness | 0.901561653 |
| Sum | 2365.1 |
| Variance | 20.82616061 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 18 | 4 | 4.0% |
| 21.7 | 3 | 3.0% |
| 20.4 | 3 | 3.0% |
| 18.7 | 2 | 2.0% |
| 20.6 | 2 | 2.0% |
| 23.6 | 2 | 2.0% |
| 18.9 | 2 | 2.0% |
| 19.8 | 2 | 2.0% |
| 23.8 | 2 | 2.0% |
| 26.4 | 2 | 2.0% |
| Other values (63) | 76 |
| Value | Count | Frequency (%) |
| 17.5 | 1 | 1.0% |
| 17.7 | 2 | |
| 17.9 | 1 | 1.0% |
| 18 | 4 | |
| 18.2 | 1 | 1.0% |
| 18.3 | 2 | |
| 18.6 | 1 | 1.0% |
| 18.7 | 2 | |
| 18.9 | 2 | |
| 19.1 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 36.1 | 1 | |
| 35.7 | 1 | |
| 35.2 | 1 | |
| 34.7 | 1 | |
| 34.2 | 1 | |
| 33.4 | 1 | |
| 32.7 | 1 | |
| 31.4 | 1 | |
| 31.1 | 1 | |
| 30.4 | 1 |
Severely Burdened Owner Share (%)
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 56 |
|---|---|
| Distinct (%) | 56.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.909 |
| Minimum | 5 |
|---|---|
| Maximum | 17.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 6.895 |
| Q1 | 8.075 |
| median | 9.5 |
| Q3 | 11.225 |
| 95-th percentile | 14.62 |
| Maximum | 17.1 |
| Range | 12.1 |
| Interquartile range (IQR) | 3.15 |
Descriptive statistics
| Standard deviation | 2.435100852 |
|---|---|
| Coefficient of variation (CV) | 0.2457463773 |
| Kurtosis | 1.077371467 |
| Mean | 9.909 |
| Median Absolute Deviation (MAD) | 1.5 |
| Skewness | 0.9261017057 |
| Sum | 990.9 |
| Variance | 5.929716162 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10.6 | 5 | 5.0% |
| 9.5 | 4 | 4.0% |
| 9.3 | 4 | 4.0% |
| 8.4 | 4 | 4.0% |
| 10.1 | 4 | 4.0% |
| 7.6 | 4 | 4.0% |
| 7.5 | 3 | 3.0% |
| 7.2 | 3 | 3.0% |
| 8 | 3 | 3.0% |
| 11.5 | 3 | 3.0% |
| Other values (46) | 63 |
| Value | Count | Frequency (%) |
| 5 | 1 | 1.0% |
| 6.2 | 1 | 1.0% |
| 6.3 | 1 | 1.0% |
| 6.5 | 1 | 1.0% |
| 6.8 | 1 | 1.0% |
| 6.9 | 1 | 1.0% |
| 7 | 1 | 1.0% |
| 7.1 | 2 | |
| 7.2 | 3 | |
| 7.5 | 3 |
| Value | Count | Frequency (%) |
| 17.1 | 1 | |
| 17 | 1 | |
| 16.8 | 1 | |
| 16.7 | 1 | |
| 15 | 1 | |
| 14.6 | 1 | |
| 13.7 | 1 | |
| 13.5 | 1 | |
| 13.3 | 1 | |
| 13.2 | 2 |
Moderately Burdened Renter Households
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 93 |
|---|---|
| Distinct (%) | 93.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 70948 |
| Minimum | 10600 |
|---|---|
| Maximum | 792800 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 10600 |
|---|---|
| 5-th percentile | 14755 |
| Q1 | 21875 |
| median | 32650 |
| Q3 | 75450 |
| 95-th percentile | 212355 |
| Maximum | 792800 |
| Range | 782200 |
| Interquartile range (IQR) | 53575 |
Descriptive statistics
| Standard deviation | 106107.9758 |
|---|---|
| Coefficient of variation (CV) | 1.495573882 |
| Kurtosis | 26.27999295 |
| Mean | 70948 |
| Median Absolute Deviation (MAD) | 14850 |
| Skewness | 4.610459489 |
| Sum | 7094800 |
| Variance | 1.125890252 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 26100 | 2 | 2.0% |
| 97500 | 2 | 2.0% |
| 24700 | 2 | 2.0% |
| 27000 | 2 | 2.0% |
| 25300 | 2 | 2.0% |
| 18400 | 2 | 2.0% |
| 32100 | 2 | 2.0% |
| 14800 | 1 | 1.0% |
| 10600 | 1 | 1.0% |
| 19200 | 1 | 1.0% |
| Other values (83) | 83 |
| Value | Count | Frequency (%) |
| 10600 | 1 | |
| 12900 | 1 | |
| 13000 | 1 | |
| 13400 | 1 | |
| 13900 | 1 | |
| 14800 | 1 | |
| 15500 | 1 | |
| 16800 | 1 | |
| 17000 | 1 | |
| 17500 | 1 |
| Value | Count | Frequency (%) |
| 792800 | 1 | |
| 586500 | 1 | |
| 284900 | 1 | |
| 234800 | 1 | |
| 224800 | 1 | |
| 211700 | 1 | |
| 191500 | 1 | |
| 175100 | 1 | |
| 174700 | 1 | |
| 165600 | 1 |
Median Income of Renter Households
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 59 |
|---|---|
| Distinct (%) | 59.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 35785.6 |
| Minimum | 24400 |
|---|---|
| Maximum | 76500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 24400 |
|---|---|
| 5-th percentile | 26890 |
| Q1 | 30000 |
| median | 35000 |
| Q3 | 38375 |
| 95-th percentile | 50085 |
| Maximum | 76500 |
| Range | 52100 |
| Interquartile range (IQR) | 8375 |
Descriptive statistics
| Standard deviation | 8207.236437 |
|---|---|
| Coefficient of variation (CV) | 0.2293446648 |
| Kurtosis | 6.48206667 |
| Mean | 35785.6 |
| Median Absolute Deviation (MAD) | 4800 |
| Skewness | 2.039104651 |
| Sum | 3578560 |
| Variance | 67358729.94 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30000 | 11 | 11.0% |
| 36000 | 8 | 8.0% |
| 35000 | 7 | 7.0% |
| 28000 | 3 | 3.0% |
| 29000 | 3 | 3.0% |
| 50000 | 2 | 2.0% |
| 34000 | 2 | 2.0% |
| 44000 | 2 | 2.0% |
| 32500 | 2 | 2.0% |
| 31000 | 2 | 2.0% |
| Other values (49) | 58 |
| Value | Count | Frequency (%) |
| 24400 | 1 | 1.0% |
| 25000 | 1 | 1.0% |
| 25400 | 1 | 1.0% |
| 26000 | 1 | 1.0% |
| 26700 | 1 | 1.0% |
| 26900 | 1 | 1.0% |
| 27000 | 1 | 1.0% |
| 27220 | 1 | 1.0% |
| 27600 | 1 | 1.0% |
| 28000 | 3 |
| Value | Count | Frequency (%) |
| 76500 | 1 | |
| 61000 | 1 | |
| 60000 | 1 | |
| 58000 | 1 | |
| 51700 | 1 | |
| 50000 | 2 | |
| 45000 | 2 | |
| 44600 | 1 | |
| 44000 | 2 | |
| 43500 | 2 |
Median Income of Owner Households
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 78 |
|---|---|
| Distinct (%) | 78.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 74457.4 |
| Minimum | 41000 |
|---|---|
| Maximum | 130200 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 41000 |
|---|---|
| 5-th percentile | 57825 |
| Q1 | 64980 |
| median | 71000 |
| Q3 | 82210 |
| 95-th percentile | 103053.5 |
| Maximum | 130200 |
| Range | 89200 |
| Interquartile range (IQR) | 17230 |
Descriptive statistics
| Standard deviation | 15173.72015 |
|---|---|
| Coefficient of variation (CV) | 0.2037906259 |
| Kurtosis | 1.893049501 |
| Mean | 74457.4 |
| Median Absolute Deviation (MAD) | 8525 |
| Skewness | 1.113562031 |
| Sum | 7445740 |
| Variance | 230241783.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 65000 | 4 | 4.0% |
| 60000 | 4 | 4.0% |
| 68000 | 3 | 3.0% |
| 84000 | 3 | 3.0% |
| 100000 | 2 | 2.0% |
| 66600 | 2 | 2.0% |
| 74600 | 2 | 2.0% |
| 61000 | 2 | 2.0% |
| 67800 | 2 | 2.0% |
| 74000 | 2 | 2.0% |
| Other values (68) | 74 |
| Value | Count | Frequency (%) |
| 41000 | 1 | 1.0% |
| 49010 | 1 | 1.0% |
| 51500 | 1 | 1.0% |
| 54000 | 1 | 1.0% |
| 54500 | 1 | 1.0% |
| 58000 | 2 | |
| 59480 | 1 | 1.0% |
| 59600 | 1 | 1.0% |
| 59900 | 1 | 1.0% |
| 60000 | 4 |
| Value | Count | Frequency (%) |
| 130200 | 1 | |
| 118600 | 1 | |
| 117050 | 1 | |
| 110000 | 1 | |
| 104070 | 1 | |
| 103000 | 1 | |
| 100000 | 2 | |
| 96400 | 1 | |
| 94700 | 1 | |
| 92000 | 1 |
Median Monthly Housing Cost of Renter Households
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 70 |
|---|---|
| Distinct (%) | 70.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 964.67 |
| Minimum | 640 |
|---|---|
| Maximum | 1880 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 640 |
|---|---|
| 5-th percentile | 730 |
| Q1 | 820 |
| median | 912 |
| Q3 | 1030 |
| 95-th percentile | 1445.5 |
| Maximum | 1880 |
| Range | 1240 |
| Interquartile range (IQR) | 210 |
Descriptive statistics
| Standard deviation | 224.9450687 |
|---|---|
| Coefficient of variation (CV) | 0.2331834396 |
| Kurtosis | 3.254972105 |
| Mean | 964.67 |
| Median Absolute Deviation (MAD) | 106.5 |
| Skewness | 1.667324062 |
| Sum | 96467 |
| Variance | 50600.28394 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 820 | 5 | 5.0% |
| 1030 | 3 | 3.0% |
| 990 | 3 | 3.0% |
| 900 | 3 | 3.0% |
| 1000 | 3 | 3.0% |
| 750 | 3 | 3.0% |
| 960 | 3 | 3.0% |
| 910 | 3 | 3.0% |
| 800 | 2 | 2.0% |
| 890 | 2 | 2.0% |
| Other values (60) | 70 |
| Value | Count | Frequency (%) |
| 640 | 1 | 1.0% |
| 700 | 2 | |
| 711 | 1 | 1.0% |
| 730 | 2 | |
| 737 | 1 | 1.0% |
| 740 | 2 | |
| 750 | 3 | |
| 760 | 1 | 1.0% |
| 765 | 1 | 1.0% |
| 767 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 1880 | 1 | |
| 1614 | 1 | |
| 1600 | 1 | |
| 1560 | 1 | |
| 1550 | 1 | |
| 1440 | 1 | |
| 1430 | 1 | |
| 1354 | 1 | |
| 1300 | 2 | |
| 1268 | 1 |
Median Monthly Housing Cost of Owner Households
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 94 |
|---|---|
| Distinct (%) | 94.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1175.63 |
| Minimum | 558 |
|---|---|
| Maximum | 2311 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 928.0 B |
Quantile statistics
| Minimum | 558 |
|---|---|
| 5-th percentile | 789.75 |
| Q1 | 916 |
| median | 1093 |
| Q3 | 1327.75 |
| 95-th percentile | 1937.35 |
| Maximum | 2311 |
| Range | 1753 |
| Interquartile range (IQR) | 411.75 |
Descriptive statistics
| Standard deviation | 356.1963667 |
|---|---|
| Coefficient of variation (CV) | 0.3029833933 |
| Kurtosis | 1.314285143 |
| Mean | 1175.63 |
| Median Absolute Deviation (MAD) | 190.5 |
| Skewness | 1.238784061 |
| Sum | 117563 |
| Variance | 126875.8516 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1025 | 3 | 3.0% |
| 1000 | 3 | 3.0% |
| 1252 | 2 | 2.0% |
| 1230 | 2 | 2.0% |
| 2020 | 1 | 1.0% |
| 558 | 1 | 1.0% |
| 883 | 1 | 1.0% |
| 866 | 1 | 1.0% |
| 942 | 1 | 1.0% |
| 904 | 1 | 1.0% |
| Other values (84) | 84 |
| Value | Count | Frequency (%) |
| 558 | 1 | |
| 678 | 1 | |
| 748 | 1 | |
| 763 | 1 | |
| 785 | 1 | |
| 790 | 1 | |
| 815 | 1 | |
| 817 | 1 | |
| 828 | 1 | |
| 836 | 1 |
| Value | Count | Frequency (%) |
| 2311 | 1 | |
| 2197 | 1 | |
| 2178 | 1 | |
| 2021 | 1 | |
| 2020 | 1 | |
| 1933 | 1 | |
| 1883 | 1 | |
| 1844 | 1 | |
| 1832 | 1 | |
| 1820 | 1 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| #ERROR! | Metropolitan Area | Cost Burdened Renter Share (%) | Severely Burdened Renter Share (%) | Cost Burdened Owner Share (%) | Severely Burdened Owner Share (%) | Moderately Burdened Renter Households | Median Income of Renter Households | Median Income of Owner Households | Median Monthly Housing Cost of Renter Households | Median Monthly Housing Cost of Owner Households | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | New YorkNewarkJersey City NYNJPA | 52.5 | 29.9 | 36.1 | 17.1 | 792800 | 43500 | 100000 | 1300 | 2020 |
| 1 | 2 | Los AngelesLong BeachAnaheim CA | 57.1 | 31.0 | 35.7 | 16.7 | 586500 | 44000 | 91950 | 1354 | 1883 |
| 2 | 3 | ChicagoNapervilleElgin ILINWI | 50.3 | 27.9 | 27.8 | 12.1 | 284900 | 37000 | 83000 | 1010 | 1415 |
| 3 | 4 | DallasFort WorthArlington TX | 45.9 | 22.7 | 22.3 | 8.6 | 234800 | 40100 | 81000 | 990 | 1252 |
| 4 | 5 | HoustonThe WoodlandsSugar Land TX | 46.7 | 24.2 | 20.5 | 8.8 | 211700 | 39600 | 84000 | 980 | 1204 |
| 5 | 6 | WashingtonArlingtonAlexandria DCVAMDWV | 45.9 | 22.6 | 23.9 | 9.2 | 191500 | 60000 | 118600 | 1550 | 1933 |
| 6 | 7 | PhiladelphiaCamdenWilmington PANJDEMD | 51.0 | 28.6 | 28.0 | 12.1 | 162900 | 37500 | 84000 | 1060 | 1404 |
| 7 | 8 | MiamiFort LauderdaleWest Palm Beach FL | 61.5 | 35.4 | 34.7 | 17.0 | 224800 | 35000 | 64500 | 1200 | 1220 |
| 8 | 9 | AtlantaSandy SpringsRoswell GA | 47.8 | 25.3 | 23.0 | 10.1 | 174700 | 39000 | 75600 | 1010 | 1167 |
| 9 | 10 | BostonCambridgeNewton MANH | 48.8 | 24.8 | 28.4 | 12.0 | 165600 | 45000 | 104070 | 1300 | 1844 |
Last rows
| #ERROR! | Metropolitan Area | Cost Burdened Renter Share (%) | Severely Burdened Renter Share (%) | Cost Burdened Owner Share (%) | Severely Burdened Owner Share (%) | Moderately Burdened Renter Households | Median Income of Renter Households | Median Income of Owner Households | Median Monthly Housing Cost of Renter Households | Median Monthly Housing Cost of Owner Households | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 90 | 91 | Toledo OH | 45.5 | 24.9 | 18.9 | 8.1 | 18700 | 27000 | 65000 | 700 | 887 |
| 91 | 92 | AugustaRichmond County GASC | 50.2 | 30.3 | 21.0 | 9.0 | 13900 | 27600 | 60000 | 808 | 873 |
| 92 | 93 | ProvoOrem UT | 39.1 | 18.6 | 20.5 | 7.6 | 10600 | 43000 | 79050 | 960 | 1260 |
| 93 | 94 | Jackson MS | 49.4 | 28.9 | 20.7 | 10.7 | 14800 | 26000 | 61000 | 830 | 848 |
| 94 | 95 | Palm BayMelbourneTitusville FL | 49.8 | 22.7 | 24.2 | 9.5 | 18200 | 36000 | 58000 | 970 | 836 |
| 95 | 96 | HarrisburgCarlisle PA | 47.4 | 22.9 | 20.4 | 6.5 | 18100 | 35600 | 71000 | 885 | 1088 |
| 96 | 97 | ScrantonWilkesBarreHazleton PA | 45.7 | 27.7 | 23.8 | 11.2 | 13000 | 27220 | 60000 | 740 | 815 |
| 97 | 98 | DurhamChapel Hill NC | 43.0 | 23.6 | 22.8 | 9.7 | 17500 | 35600 | 78500 | 930 | 1130 |
| 98 | 99 | YoungstownWarrenBoardman OHPA | 46.3 | 21.7 | 18.7 | 7.2 | 17000 | 24400 | 54000 | 640 | 678 |
| 99 | 100 | SpokaneSpokane Valley WA | 50.0 | 24.8 | 26.4 | 10.9 | 20800 | 29000 | 63160 | 770 | 1004 |